This report outlines state Medicaid program priorities, including expanding access to services, addressing health disparities, and implementing cost-containment measures amid post-pandemic uncertainties.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include child care applications.
This post explores the lessons learned and opportunities for improvement from USDR's research on families' experiences as they navigate the child care journey.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
Code for America's GetCTC portal simplifies access to the Child Tax Credit for low-income families by providing a mobile-friendly, bilingual platform for streamlined tax filing.
The Administration for Children and Families’ Office of Family Assistance (OFA) worked with 18F to replace its legacy data reporting system through product management training, user research, and an assisted acquisition.
For the past year, modernization teams at the Department of Labor (DOL) have been helping states identify opportunities to automate rote, non-discretionary, manual tasks, with the goal of helping them speed up the time that it takes to process claims. This post provides more context on Robotic Process Automation (RPA) and potential use cases in unemployment insurance.
Applicants to federal aid programs face numerous barriers in accessing benefits they are eligible for. The Centers for Medicaid and Medicare conducted an extensive qualitative user research study to better understand applicant experience in enrolling in public assistance programs. Based on the results, the study emphasizes the need for simplified, streamlined and less burdensome application processes.
This award documentation from the National Association of State Chief Information Officers (NASCIO) explains how agencies in Ohio used automation to support administration of public benefits programs.
National Association of State Chief Information Officers (NASCIO)
